V’s of BIG DATA and DATA ANALYTICS
This study has addressed certain aspects of such a large topic and can be improved by presenting information about the tools and techniques used in data analytics, the problems encountered in data Analytics, and the trends that can be observed in the future in future studies.
Abstract
With the developments in computer technology, big data continues to be one of the most remarkable issues today. This concept, which was tried to be defined with the features of Volume, Velocity and Variety in the 2000s, has emerged as a 50-V feature by adding a new V to itself over a 20-year period. Obviously these Vs will continue to increase. In the study, more than 30 most common V concepts in the literature were introduced and resource suggestions were made for other concepts. However, what makes big data so important is undoubtedly not its raw form, but the fact that it is transformed into information by processing with techniques called data analytics and constitutes one of the most important inputs used in the decision-making process. In this study, information on the concept of data analytics has been presented, and data analytics has been classified in terms of data sources and purposes of use. Finally, the benefits that organizations, especially businesses, can derive from this big data and data analytics are listed. The study has addressed certain aspects of such a large topic, but it is open to improvement. The study can be improved by presenting information about the tools and techniques used in data analytics, the problems encountered in data analytics, and the trends that can be observed in the future in future studies.